基于逆向预测的MMC多步模型预测控制  

Multi-Step Model Predictive Control of MMC Based on Reverse Prediction

作　　者：余瑜[1] 汪健 杨文康 YU Yu;WANG Jian;YANG Wen-kang(School of Electrical and Electronic Engineering,Hubei University of Technology,Wuhan Hubei 430000,China)

机构地区：[1]湖北工业大学电气与电子工程学院,湖北武汉430000

出　　处：《计算机仿真》2023年第5期166-171,共6页Computer Simulation

基　　金：湖北省自然科学基金(2017CFB298)。

摘　　要：模型预测控制(MPC)能实现模块化多电平换流器(MMC)多目标优化,但遍历法计算负荷大、单步模型预测控制环流抑制效果待改善。针对上述问题,推导了MMC的离散数学模型,接利用逆向模型预测法推导出满足相电流控制的上、下桥臂输出电压,结合最近电平逼近调制法,得到一组开关组合,在其附近寻优,既满足了相电流追踪精度又减少了计算量;提出一种低计算量的多步模型预测环流抑制控制算法,有效降低了环流;最后利用MATLAB/Simulink计算机仿真平台,搭建11电平MMC控制系统验证了所设计的逆向多步模型预测控制算法的有效性。Model predictive control(MPC)can achieve multi-objective optimization of modular multilevel con-verter(MMC),but the ergodic method has a large computational load and the effect of single-step predictive control circulation suppression needs to be improved.This paper first derived the discrete mathematical model of MMC,then used the inverse model prediction method to derive the output voltages of the upper and lower bridge arms that meet the phase current control,and then combined the nearest level approximation modulation method to obtain a set of switch combinations,which not only satisfied the phase current tracking accuracy but also reduced the calculation amount.At the same time,a low calculation amount multi-step model prediction control method was proposed,which effectively re-duced the circulating current.Finally,an11-level MMC control system was built using MATLAB/Simulink simulation plat-form to verify the effectiveness of the designed inverse multi-step model predictive controller.

关 键 词：模块化多电平换流器 逆向预测 多步模型预测 环流抑制 

分 类 号：TM743[电气工程—电力系统及自动化]